PC-8365u [Win11] Dell Inc. Latitude 5300
Geekbench AI Score
928
Single Precision Score
1090
Half Precision Score
755
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 02:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude 5300 |
| Motherboard | Dell Inc. 0932VT |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
100% |
407
75.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
485
7.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
1950
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
490
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
441
35.5 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
784
9.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1690
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2119
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1459
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5802
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
8735
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4923
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
868
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.7 IPS |
|
|
Text Classification (Q)
|
97% |
269
361.0 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
70% |
271
5.09 IPS |
